Robotik-Kurse können Ihnen helfen zu verstehen, wie robotische Systeme aufgebaut, gesteuert und programmiert werden. Sie können Fähigkeiten in Sensorik, Bewegung, Simulation und Automatisierung aufbauen. Viele Kurse stellen Tools und Beispiele für typische Robotikanwendungen vor.

LearnKartS
Kompetenzen, die Sie erwerben: Generative AI, Recurrent Neural Networks (RNNs), Deep Learning, Tensorflow, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Machine Learning, Model Training
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Modell Ausbildung, Bewertung des Modells, Statistische Programmierung, Deskriptive Statistik, Datenwrangling, Prädiktive Modellierung, Datenmanipulation, Tiefes Lernen, Streudiagramme, Prädiktive Analytik, R Programmierung, Plot (Grafiken), Künstliche neuronale Netze, Statistische Methoden, Software zur Datenvisualisierung, Statistische Visualisierung, Datenwissenschaft, R (Software), Methoden des maschinellen Lernens, Regressionsanalyse, Modellevaluation
Gemischt · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks
Mittel · Kurs · 1–4 Wochen

Universitat de Barcelona
Kompetenzen, die Sie erwerben: Sustainable Technologies, Sustainable Development, Sustainable Design, Sustainable Engineering, Materials science, Micrometer, Innovation, Biomedical Engineering, Robotics, Chemistry, Molecular Biology, Ideation, Safety Standards, Emerging Technologies, Ethical Standards And Conduct, Electronics, Applied Mathematics, Physics
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative Model Architectures, Generative AI, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Data Strategy, Data Ethics, Artificial Neural Networks, Process Improvement, Process Improvement and Optimization, Cloud Computing, Operational Efficiency, Process Optimization, Big Data, Customer Service, Natural Language Processing, User Experience, Marketing
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Data Validation, Model Deployment, Test Driven Development (TDD), Apache Airflow, Data Pipelines, Containerization, Extract, Transform, Load, Kubernetes, Model Training, Data Integrity, Model Optimization, Cloud-Native Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Artificial Intelligence, Artificial Neural Networks, Machine Learning Algorithms, Natural Language Processing, Algorithms
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Data Preprocessing, Model Evaluation, Fine-tuning, Hugging Face, Data Processing, Data Transformation, Model Training, Feature Engineering, Data Pipelines, Image Analysis, Image Quality, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Machine Learning Methods, Data Architecture, Machine Learning Software, Computer Vision, Digital Signal Processing, Artificial Neural Networks, Machine Learning Algorithms
Mittel · Kurs · 3–6 Monate

Kompetenzen, die Sie erwerben: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining
Mittel · Kurs · 1–4 Wochen